Detecting Phenological Development of Winter Wheat and Winter Barley Using Time Series of Sentinel-1 and Sentinel-2

dc.contributor.authorHarfenmeister, Katharina
dc.contributor.authorItzerott, Sibylle
dc.contributor.authorWeltzien, Cornelia
dc.contributor.authorSpengler, Daniel
dc.date.accessioned2022-01-05T13:42:41Z
dc.date.available2022-01-05T13:42:41Z
dc.date.issued2021-12-11
dc.date.updated2022-01-03T14:51:30Z
dc.description.abstractMonitoring the phenological development of agricultural plants is of high importance for farmers to adapt their management strategies and estimate yields. The aim of this study is to analyze the sensitivity of remote sensing features to phenological development of winter wheat and winter barley and to test their transferability in two test sites in Northeast Germany and in two years. Local minima, local maxima and breakpoints of smoothed time series of synthetic aperture radar (SAR) data of the Sentinel-1 VH (vertical-horizontal) and VV (vertical-vertical) intensities and their ratio VH/VV; of the polarimetric features entropy, anisotropy and alpha derived from polarimetric decomposition; as well as of the vegetation index NDVI (Normalized Difference Vegetation Index) calculated using optical data of Sentinel-2 are compared with entry dates of phenological stages. The beginning of stem elongation produces a breakpoint in the time series of most parameters for wheat and barley. Furthermore, the beginning of heading could be detected by all parameters, whereas particularly a local minimum of VH and VV backscatter is observed less then 5 days before the entry date. The medium milk stage can not be detected reliably, whereas the hard dough stage of barley takes place approximately 6–8 days around a local maximum of VH backscatter in 2018. Harvest is detected for barley using the fourth breakpoint of most parameters. The study shows that backscatter and polarimetric parameters as well as the NDVI are sensitive to specific phenological developments. The transferability of the approach is demonstrated, whereas differences between test sites and years are mainly caused by meteorological differences.en
dc.description.sponsorshipBMEL, 2815710715, Verbundprojekt: Erzeugung von landwirtschaftlichen Ertragspotenzialkarten durch Fusion von Ertragskartierungen, Fernerkundungsdaten, digitaler Reliefauswer-tung und Bewirtschaftungsdaten (AgriFusion) - Teilprojekt 1en
dc.identifier.eissn2072-4292
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/16048
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-14822
dc.language.isoenen
dc.rightsLicensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitende
dc.subject.otherphenologyen
dc.subject.otheragricultureen
dc.subject.otherSentinel-1en
dc.subject.otherSentinel-2en
dc.subject.othertime seriesen
dc.titleDetecting Phenological Development of Winter Wheat and Winter Barley Using Time Series of Sentinel-1 and Sentinel-2en
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber5036en
dcterms.bibliographicCitation.doi10.3390/rs13245036en
dcterms.bibliographicCitation.issue24en
dcterms.bibliographicCitation.journaltitleRemote Sensingen
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume13en
tub.accessrights.dnbfreeen
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme>Inst. Maschinenkonstruktion und Systemtechnik>FG Agromechatronikde
tub.affiliation.facultyFak. 5 Verkehrs- und Maschinensystemede
tub.affiliation.groupFG Agromechatronikde
tub.affiliation.instituteInst. Maschinenkonstruktion und Systemtechnikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen
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